EP2936389A1 - Verfahren und vorrichtung zum prädikativen ermitteln eines parameterwertes einer von einem fahrzeug befahrbaren oberfläche - Google Patents
Verfahren und vorrichtung zum prädikativen ermitteln eines parameterwertes einer von einem fahrzeug befahrbaren oberflächeInfo
- Publication number
- EP2936389A1 EP2936389A1 EP13821663.5A EP13821663A EP2936389A1 EP 2936389 A1 EP2936389 A1 EP 2936389A1 EP 13821663 A EP13821663 A EP 13821663A EP 2936389 A1 EP2936389 A1 EP 2936389A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- road
- parameter value
- data
- control device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
- B60W40/068—Road friction coefficient
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/0097—Predicting future conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N19/00—Investigating materials by mechanical methods
- G01N19/02—Measuring coefficient of friction between materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
Definitions
- the invention relates to a method for the predicative determination of a parameter value according to the preamble of claim 1. Furthermore, the invention relates to a control device for carrying out the method.
- a control device for carrying out the method.
- Information about the road condition, in particular the surface and its coefficient of friction e.g. to prevent a driver assistance and safety system from changing a driving condition too abruptly or too late, e.g. initiates excessive braking, or does not even warn of a dangerous situation.
- the coefficient of friction of the road surface or a change in the coefficient of friction in a region of the road surface is known, for example, an expected braking distance can be estimated and braking can be initiated early enough and with the correct dosage.
- the coefficient of friction is thus an important variable by means of which an intervention by a driving assistance and safety system into a driving dynamics of the vehicle can be controlled, provided that the coefficient of friction can be estimated or determined with sufficient accuracy.
- the patent DE 10 2004 023 323 B4 shows an apparatus and a method for detecting a condition of a road surface for a vehicle by means of a spectrally resolving radiation receiver such as e.g. a night vision camera with heat radiation detection (pyrometer), wherein the road surface is characterized by a coefficient of friction, which is determined from a temperature profile in the detected thermal image, and wherein by the radiation receiver upstream imaging magnifying the detected area of the road surface can be defined, in particular by a absolute length given range of eg 50 to 100 meters in front of the vehicle.
- the condition of the road surface can be detected without its own radiation transmitter, so alone on the evaluation of anyway incident on the vehicle (light) radiation.
- the image enlarging means may be further developed as a means for tracking a road course, so that the detected area may be defined also with respect to curves or sloping road sections.
- the invention is based on a method for predicatively determining a parameter value of a surface that can be traveled by a vehicle and providing the parameter value to at least one driver assistance system. tem of the vehicle, by detecting an overall surface intended for driving on the vehicle, in particular by detecting radiation emanating from the total surface. According to the invention, the following steps are carried out:
- the amount of data to be evaluated can be reduced.
- false analyzes can be avoided, in particular because e.g. Road sections can be excluded on which a vehicle is parked with a heat radiating subfloor. In this section or range, the parameter value, in particular coefficient of friction, is changed, but the vehicle can not use the range, so that processing this information and passing it on to a driver assistance system would not be expedient.
- the surface will be (pre-) given by a road with a certain road, eg be known from a road database, however, the described method is also executable in a surface without a definable course, such as a parking lot.
- the total surface can be limited to a specifiable subarea of the usable surface of the vehicle (in particular a road or road course), on the other hand on a drivable subarea, ie an area in which no obstacles that can not be overcome by the vehicle (objects or subjects ) are provided.
- the obstacles can therefore also be movable, need not be fixed.
- An obstacle can also be formed, for example, by an oncoming vehicle or, for example, an obstacle shifting transversely to the direction of travel.
- the invention is also based on the recognition that it is not necessarily necessary to determine and evaluate a road course or the absolute position of the vehicle, but that an improved (data) basis can already be provided by virtue of the fact that ) Surface itself, an analysis takes place regarding which Subareas are not relevant and can be excluded in the further determination of parameter values.
- Non-traversable obstacles which usually also have an influence on the parameter value, in particular coefficient of friction, especially due to temperature changes, are thus the indicator that can be used to hide partial areas of the surface.
- fail-safe analysis can already be carried out on the basis of relative data without reference to an absolute geographical position or the course of the road.
- a predicative determination is to be understood as a forward-looking determination, in which physical variables not measured by the vehicle on the vehicle, such as a friction between a tire and the road surface in the currently traveled section of the road, are determined, but a section of the road still to be traveled is examined, in particular by evaluating radiation emitted from the still to be traveled portion of the road.
- the partial area is determined by determining an obstacle that can not be traveled over by the vehicle on the total surface.
- the detection of obstacles may e.g. be effected by a comparison of captured image areas or pixels with stored standard geometries, e.g. a rear of a vehicle, or the outline of a person, or that a captured image is examined in certain coordinate directions for definable contours or geometries.
- stored standard geometries e.g. a rear of a vehicle, or the outline of a person
- contours extending in a vertical orientation at an angle to the road surface may be examined.
- the detection of the obstacle can take place, for example, by means of an environment detection device provided on the vehicle, for example a radar device, but it can also be based on a data basis which was generated by detecting the total surface.
- the total surface is detected by evaluating incident on the vehicle radiation.
- the incident radiation may optionally have been emitted by the vehicle itself, ie it may be its own reflected radiation, or it may also be radiation that is incident on the vehicle without a radiation emitter, ie, daylight or artificial light in an illuminated tunnel.
- a coefficient of friction characterizing the friction between a tire of the vehicle and the surface in the partial area is used as the parameter value.
- the coefficient of friction is a parameter value that is important for vehicle control because it specifies which maneuvers on the surface are possible without leaving a safe driving state.
- the coefficient of friction may e.g. be determined from a captured by a thermal imaging camera thermal image.
- the parameter value may also (optionally additionally) refer to a material of the road surface, be it a tar cover, concrete or cobblestones.
- the total surface is detected by detecting heat radiation, in particular by means of an environment detection unit.
- the road surface data characterizing the parameter can be extracted from a thermal image obtained by the thermal radiation by analyzing a temperature profile in the thermal image and determining a parameter value change from the thermal image, in particular by means of the surroundings detection unit or a separate control device.
- the road surface data already includes the indication or information about how the parameter value changes, in particular location-related, and the road surface data in a variant of the method can be related to environmental data in order to detect and evaluate with respect to a specific To be able to carry out road course.
- the parameter value itself is not detected directly, but first a data basis is created for which one or more specific parameters, in particular a coefficient of friction or a surface roughness, can then be determined and the evaluation of the data takes place with respect to these parameters or this parameter.
- a coefficient of friction may be much more difficult to determine than for a uniformly paved road, and it may be convenient to use the road surfaces with respect to the material of the road, the road Grain size (size of pebbles), temperature and / or any contaminants such as leaves, oil films, moisture, etc.
- the partial area and the parameter value are evaluated by means of a control device or a vehicle system coupled to the control device, wherein it is checked whether a function of the vehicle is to be controlled.
- a control of the vehicle can take place, in particular also with regard to further data such as e.g. Data on a road course and / or an absolute or relative vehicle position, as described in more detail below.
- a road course and the geographical vehicle position may be taken into account in connection with the described method.
- the parameter values can be provided in such a way that control of the vehicle by a driver assistance system is made possible, in particular with regard to the course of the road and optionally also the relative position of the vehicle on the road.
- the method described in more detail below is suitable, which represents a development of the method described above.
- the environmental data may e.g. be provided by a map database of a navigation system and / or retrieved in real time for the relevant geographic area, respectively.
- the predeterminable environment may be e.g. be bounded by a geometrically fixed or variable definable zone around the vehicle.
- the retrieval of geographic real-time position data of the vehicle is preferably carried out by an on-board GPS system, which Receive and evaluate signals.
- Data on a direction of travel of the vehicle can be generated over the time course of the position data received by means of the GPS signals.
- they can also be determined via an on-board compass device which can output compass data or travel direction data with respect to a center longitudinal axis of the vehicle.
- the environment data can optionally be loaded at least partially from a storage unit of the vehicle, in particular in an environment related to the direction of travel of the vehicle.
- the real-time geographical position data may be transferred to an on-board storage unit and correlated with environmental data already stored in the storage unit or environmental data acquired only in response to determining the location.
- the on-board memory unit can be designed as a temporary memory in which map data or environmental data are buffered only, eg if they are currently called via an (Internet) connection, but it can alternatively or additionally be designed as a kind of hard disk memory. which has the environment data permanently stored, so that a communication with an external vehicle-independent map database is not necessarily required.
- the detection of the radiation can be carried out by the surroundings detection unit or a separate radiation detection unit.
- the radiation detection unit can be designed, for example, as a thermal imaging camera.
- the generation of road surface data in step f) can be carried out by the control device or alternatively by a separate evaluation unit, which extracts a temperature profile of the road surface in front of the vehicle from a thermal image of the radiation detection unit, in particular a so-called NightVision camera, and analyzes therefrom a change in the coefficient of friction before Vehicle determines or estimates.
- a check of the calculated data takes place. Because when passing over the areas, a coefficient of friction can usually be determined in a simpler and more accurate manner, in particular by means of the friction forces applied to the tires of the vehicle. recorded friction values. From this, a plausibility check can be derived with regard to the predicatively estimated coefficients of friction.
- the near environment may also be concentric about the vehicle or elliptical with the longer axis of the ellipse in the direction of travel around the vehicle be to a driving assistance system also provide information on an environment or an environment in the rear of the vehicle, ie laterally and behind the vehicle.
- the direction of travel to be defined by the center longitudinal axis of the vehicle ie, the position data can be evaluated without temporal change to the effect that in a parked vehicle is known in which Direction of the bow of the vehicle has to perform the inventive method with respect to the direction of travel can.
- step c) and / or step g) can optionally take place in step c) and / or step g), ie based on the data provided by the environment detection unit and / or or the data provided by the radiation detection unit.
- the surroundings detection unit can detect in a vertical direction, ie substantially perpendicular to a road surface, the height of the obstacles and specify from when it is an obstacle not passable by the vehicle.
- a vertical direction ie substantially perpendicular to a road surface
- the height of the obstacles and specify from when it is an obstacle not passable by the vehicle.
- the road surface or the area just above the road surface is examined for vertical jumps, that is, contours that extend in a vertical direction.
- step g) preferably takes place as a function of the course of the road.
- the analysis of the road surface can be focused on those areas that are expected to be traversed by the vehicle.
- step h) can be determined, for example, whether in a particularly curvy area of the road with a higher smoothness, so a lower coefficient of friction is expected. This allows a more predictive, safer control of the vehicle.
- the evaluation of the course of the road together with the parameter value in step h) is preferably carried out by relating the parameter value to the course of the road and by evaluating a change in the parameter value and referencing the parameter value to certain sections of the road course, if the parameter value falls in the changes certain sections of the road.
- a particularly narrow curve can be examined and a change of the parameter value in this range can lead to a stronger forward-looking action or alert by the driver assistance system respectively than if the change occurred in a straight section of the road.
- step i) it is therefore preferable to provide the vehicle position and the course of the road with the related parameter value, in particular the coefficient of friction.
- Combining the road surface data with the environment data in step i) can be used to hide sections of the road in a second step, even if a change in the parameter values is associated with an obstacle on the road. Because the obstacle must be avoided, which is usually accompanied by a change in the driving condition of the vehicle, and when changing the driving condition, the coefficient of friction is of particular importance.
- the course of the road is converted by means of a mathematical camera model into pixel coordinates of a thermal image which can potentially be evaluated.
- the image areas which correspond to detected obstacles converted by the camera model can be masked out before the evaluation of the surface parameter.
- the determination of the course of the road can also take place in a three-dimensional manner, that is with regard to all three spatial directions.
- the determined course of the roadway can be used for further steps of the method, taking into account the hidden non-passable sections, in particular the steps:
- driver assistance system which can be designed as a subsystem of the vehicle system.
- the detection in step b) and the evaluation in step c) and / or the determination in step e) and / or the detection in step f) in a near environment around the vehicle, especially in the vicinity of 1 to 1000, are preferred 10 to 500, more preferably 20 to 200 meters around the vehicle.
- the proximity environment may be defined in relation to the direction of travel and / or the roadway, that is, in a serpentine road, rectangular or even square laterally defined transverse to the vehicle or in a substantially unidirectional highway elongated and linear along the highway in the direction of travel. As a result, the amount of data to be processed can be reduced.
- the environment data can be at least partially loaded from a storage unit and / or loaded into the vehicle via a communication interface, in particular online from the Internet.
- the method can also be extended to road areas which can not be detected by a camera, a laser scanner, a radar device or the like device, ie are not visible. This allows e.g. a first rough recording of the course of the road and a pre-warning possibility, e.g. in the case of squealing, strong bends, deep depressions or a failure of the vision sensing unit working on sight.
- an online database for loading the aerial image data can be any database in which preferably the most up-to-date aerial image data is stored.
- the control device is designed to connect to a plurality of online databases, either simultaneously or sequentially, and to check in which online database the aerial image data for the area of interest is more up-to-date and / or greater or better resolution (ie more detailed aerial image data, in particular aerial image data with a smaller scaling factor, ie aerial image data taken from a smaller height) in order to retrieve the aerial image data with the respectively greater resolution or higher actuality.
- the object is also achieved by a control device for predicatively determining a parameter value of a surface that can be traveled by a vehicle and providing the parameter value to at least one driver assistance system of the vehicle, wherein the control device is designed to evaluate surface data of an overall surface that is suitable for driving on the vehicle is provided,
- control device is further configured to determine a partial area within the overall surface which is actually passable by the vehicle, and to determine the parameter value exclusively for the partial area.
- the described method and the described control device can be used in conjunction with a safety system which has at least one environment detection unit and is designed to determine from the detected environment a course of a road, be it autonomous or in connection with externally provided (map )Dates.
- FIG. 1 is a perspective top view of a schematic representation of a driving situation of a vehicle on a road, wherein the vehicle is formed with a vehicle system having a control device for controlling the vehicle according to a method of the invention;
- FIG. 2 shows a perspective top view of a schematic illustration of a further driving situation of a vehicle on a road, wherein the vehicle is formed with a vehicle system having a control device for controlling the vehicle according to a method according to the invention
- FIG. 3a shows a schematic flowchart of a method according to an embodiment of the invention
- FIG. 4 shows a schematic illustration of a control device according to an embodiment of the invention
- 5a is a plan view of a schematic representation of a situation in a method by which all areas of a road are detected as a function of a road course;
- 5b shows a plan view of a situation in a method according to the invention, by means of which only passable areas of a road are detected as a function of a road course and areas that are not passable can be hidden.
- FIG. 1 shows a vehicle 1 which uses a road 2.
- the road 2 has a road surface 2a having a location-dependent nature.
- Road 2 has two road markings 2.3 designated lanes 2.1 with a respective road surface 2.1 a on.
- the road surfaces 2.1 a may consist of the same material, or else from divergent materials, for example, two different types of tar.
- the road 2 also has a side strip 2.2 and is bounded on both sides by a guard rail 3. In addition to the side strips 2.2 limiting posts 4 are provided.
- the vehicle 1 travels in a direction F to an endangered area B1 on the right-hand lane 2.1. On the side strip 2.2 is indicated an unobtainable area B2, e.g. an area blocked by an obstacle H.
- the vehicle 1 has a vehicle system 100 which is coupled to or has a control device 10.
- the vehicle system 100 may be designed as a driver assistance system or have such.
- the control device 10 is designed to detect a course of the road 2 and to carry out a determination of coefficients of friction of the road surface 2 a as a function of the course of the road and as a function of non-drivable areas B2.
- FIG. 2 shows a situation comparable to the situation shown in FIG. 1.
- an obstacle H is formed by a parked vehicle 1 a.
- a driver assistance system must take into account that a certain distance from the parked vehicle 1 a must be maintained at high speed, even in a dangerous situation during an evasive maneuver in which the controlled vehicle 1 is to be controlled down from the roadway 2.1 ,
- the vehicle 1 has a vehicle system 100, which has a control device 10.
- the vehicle system 100 may be designed as a driver assistance system or have such.
- 3a shows in a schematic representation that a method for predicatively determining a parameter value of a surface that can be traveled by a vehicle and providing the parameter value to at least one driver assistance system of the vehicle can already lead to an improved data basis by a very manageable number of method steps. in particular by
- a first step 1) in which a detection of an overall surface is provided, which is intended for driving on the vehicle
- a second step 2) in which a determination of a partial area within the total surface, which is actually passable by the vehicle, is provided, and by
- a third step 3 in which a determination of the parameter value is intended exclusively for the subarea.
- the step 1) can be further developed in that the total surface is detected by detecting heat radiation, in particular by means of an environment detection unit, and road surface data is extracted from a thermal image obtained from the heat radiation by analyzing a temperature profile in the thermal image and a parameter value change is determined from the thermal image, in particular by means of the Umweis conductedsaku or one of these separate control device.
- FIG. 3 b shows a schematic illustration of the way in which a method according to the invention according to an exemplary embodiment can be implemented in which a road course and a vehicle position are taken into account, in particular if it is to be executed in conjunction with a driver assistance system.
- the individual steps may be described as follows and are part of a method for providing a parameter value characterizing a road surface with respect to a preceding road course as well as a geographical position and a direction of travel of a vehicle using the road for at least one driver assistance system of the vehicle: a) retrieving real-time geographical position data on the vehicle position of the vehicle and detecting the direction of travel of the vehicle;
- determining non-drivable sections of the road in particular from the surrounding data, by determining obstacles that can not be traveled by the vehicle on the road, in particular by an area above the road surface being angled in a vertical orientation the road surface extending contours is examined;
- the evaluation can be carried out more accurately, since a misinterpretation of parameter values can be effectively avoided, in particular in the evaluation of the parameter value based on the temperature of the road surface: heat radiated from parked vehicles onto the road surface does not lead to the steering of the vehicle to be considered, because this temperature change can be associated with the parked vehicle (obstacle) and hidden.
- the parameter value is determined only for the areas of the road in which there is no obstacle, that is, which are passable and which were not hidden. Fading out thus preferably takes place before the determination of any parameter values, in particular friction values.
- the determined course of the road or roadway can be used for further steps of the method, taking into account the hidden non-passable sections, in particular the steps:
- FIG. 4 shows a control device 10 arranged in a vehicle 1 with a processor 10a and memory means 12, which is coupled to a position detection device 13, a vehicle system 100, a radiation detection unit 1, an environment detection unit 15 and to an actuator 14.
- the actuator 14 can be actuated via the control device 10 and / or the vehicle system 00, in particular to set the driving state of the vehicle 1.
- the control device 10 and / or the vehicle system 100 are in communication with a data server 30 via a communication interface, from which data can optionally be transmitted on a course of the road or on specific features of the environment.
- a road course of the road 2 can be taken into account by detecting only the areas of the road itself, but not the surroundings.
- a vehicle 1 using the road 2 detects a defined area (encircled area) in the direction of travel F in front of the vehicle 1 and determines the course of the road and takes into account only the areas of the road 2 itself, corresponding to the dashed area, ie not the surroundings.
- This area includes areas B2, in which a non-negotiable obstacle H exists.
- FIG. 5B which areas can be considered in a process of this invention and which areas can be hidden.
- the dashed area in which an evaluation of a road surface characterizing parameters is carried out, is limited to the navigable areas of the road 2
- non-passable areas B2 in which eg an obstacle H can be arranged, have been hidden, in particular before a particular location-related evaluation of the parameter takes place.
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Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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DE102012024874.1A DE102012024874B4 (de) | 2012-12-19 | 2012-12-19 | Verfahren und Vorrichtung zum prädikativen Ermitteln eines Parameterwertes einer von einem Fahrzeug befahrbaren Oberfläche |
PCT/EP2013/003784 WO2014095019A1 (de) | 2012-12-19 | 2013-12-16 | Verfahren und vorrichtung zum prädikativen ermitteln eines parameterwertes einer von einem fahrzeug befahrbaren oberfläche |
Publications (2)
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EP2936389A1 true EP2936389A1 (de) | 2015-10-28 |
EP2936389B1 EP2936389B1 (de) | 2016-09-21 |
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EP13821663.5A Active EP2936389B1 (de) | 2012-12-19 | 2013-12-16 | Verfahren und vorrichtung zum prädikativen ermitteln eines parameterwertes einer von einem fahrzeug befahrbaren oberfläche |
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US (1) | US20150344037A1 (de) |
EP (1) | EP2936389B1 (de) |
CN (1) | CN104885097B (de) |
DE (1) | DE102012024874B4 (de) |
WO (1) | WO2014095019A1 (de) |
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DE102012101085A1 (de) | 2012-02-10 | 2013-08-14 | Conti Temic Microelectronic Gmbh | Bestimmung einer Beschaffenheit einer Fahrbahnoberfläche mittels einer 3D-Kamera |
DE102012112724A1 (de) | 2012-12-20 | 2014-06-26 | Continental Teves Ag & Co. Ohg | Verfahren zur Bestimmung eines Fahrbahnzustands aus Umfeldsensordaten |
DE102012112725A1 (de) * | 2012-12-20 | 2014-06-26 | Continental Teves Ag & Co. Ohg | Reibwertschätzung aus Kamera- und Raddrehzahldaten |
DE102013101639A1 (de) | 2013-02-19 | 2014-09-04 | Continental Teves Ag & Co. Ohg | Verfahren und Vorrichtung zur Bestimmung eines Fahrbahnzustands |
DE102013223367A1 (de) | 2013-11-15 | 2015-05-21 | Continental Teves Ag & Co. Ohg | Verfahren und Vorrichtung zur Bestimmung eines Fahrbahnzustands mittels eines Fahrzeugkamerasystems |
DE102014219493A1 (de) * | 2014-09-25 | 2016-03-31 | Conti Temic Microelectronic Gmbh | Reibbeiwertabhängiges Kollisionsvermeidungssystem |
US10832426B2 (en) * | 2015-09-24 | 2020-11-10 | Apple Inc. | Systems and methods for surface monitoring |
US11100673B2 (en) | 2015-09-24 | 2021-08-24 | Apple Inc. | Systems and methods for localization using surface imaging |
DE102015012815B4 (de) | 2015-10-02 | 2017-08-17 | Audi Ag | Fahrbahnzustandserkennungssystem, Fahrzeug und Verfahren zum Ermitteln eines Zustands einer Fahrbahn |
US10048686B2 (en) * | 2015-11-06 | 2018-08-14 | The Boeing Company | Methods and apparatus to autonomously navigate a vehicle by selecting sensors from which to obtain measurements for navigation |
US9889716B2 (en) * | 2016-02-03 | 2018-02-13 | Ford Global Technologies, Llc | Roadway-crossing-anomaly detection system and method |
CN107092920A (zh) * | 2016-02-17 | 2017-08-25 | 福特全球技术公司 | 评估其上行驶有车辆的路面的方法和装置 |
GB2552024B (en) * | 2016-07-08 | 2020-04-15 | Jaguar Land Rover Ltd | Improvements in vehicle speed control |
KR101876063B1 (ko) * | 2016-10-04 | 2018-07-06 | 현대자동차주식회사 | 차량 데이터 기반의 노면 판단 방법 |
EP3601001B1 (de) | 2017-03-24 | 2021-05-05 | Compagnie Generale Des Etablissements Michelin | Verfahren und system zur echtzeitschätzung von strassenbedingungen und fahrzeugverhalten |
DE102017114571A1 (de) * | 2017-06-29 | 2019-01-03 | Volkswagen Aktiengesellschaft | Verfahren und Vorrichtung zum Bestimmen einer Beschaffenheit einer Oberfläche in der Umgebung eines Fahrzeugs |
JP6662356B2 (ja) * | 2017-08-03 | 2020-03-11 | トヨタ自動車株式会社 | 車両制御装置 |
DE102017118156A1 (de) * | 2017-08-09 | 2019-02-14 | Valeo Schalter Und Sensoren Gmbh | Verfahren zum Überwachen eines Umgebungsbereiches eines Kraftfahrzeugs, Sensorsteuergerät, Fahrerassistenzsystem sowie Kraftfahrzeug |
JP7136106B2 (ja) * | 2017-08-18 | 2022-09-13 | ソニーグループ株式会社 | 車両走行制御装置、および車両走行制御方法、並びにプログラム |
US10773725B1 (en) | 2017-08-25 | 2020-09-15 | Apple Inc. | Tire-road friction estimation and mapping |
EP3546312A1 (de) * | 2018-03-26 | 2019-10-02 | Volvo Car Corporation | Verfahren und system zur handhabung der bedingungen einer strasse, auf der ein fahrzeug fährt |
CN109271944B (zh) | 2018-09-27 | 2021-03-12 | 百度在线网络技术(北京)有限公司 | 障碍物检测方法、装置、电子设备、车辆及存储介质 |
CN112068537B (zh) * | 2019-05-21 | 2023-07-07 | 宇通客车股份有限公司 | 基于区域划分的自动驾驶公交车进/出站控制方法与装置 |
EP3991089A1 (de) * | 2019-06-27 | 2022-05-04 | Zenuity AB | Verfahren und system zur schätzung einer antreibbaren oberfläche |
CN110427026B (zh) * | 2019-07-15 | 2022-09-13 | 北京天时行智能科技有限公司 | 一种轮胎道路摩擦的确定方法及装置 |
US12026952B2 (en) * | 2019-10-09 | 2024-07-02 | Volkswagen Aktiengesellschaft | Multi-sensory measuring system and method for transportation vehicle operating systems |
DE102020202280A1 (de) | 2020-02-21 | 2021-08-26 | Continental Teves Ag & Co. Ohg | Ermittlung eines erwarteten fahrzeugspezifischen Reibwertverlaufs |
US20220012506A1 (en) * | 2020-07-13 | 2022-01-13 | Wisense Technologies Ltd. | System and method of segmenting free space based on electromagnetic waves |
CN111829545B (zh) * | 2020-09-16 | 2021-01-08 | 深圳裹动智驾科技有限公司 | 自动驾驶车辆及其运动轨迹的动态规划方法及系统 |
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JPH09142236A (ja) * | 1995-11-17 | 1997-06-03 | Mitsubishi Electric Corp | 車両の周辺監視方法と周辺監視装置及び周辺監視装置の故障判定方法と周辺監視装置の故障判定装置 |
JP3420049B2 (ja) * | 1997-12-27 | 2003-06-23 | 本田技研工業株式会社 | 車両用物体検知装置 |
JP3515926B2 (ja) * | 1999-06-23 | 2004-04-05 | 本田技研工業株式会社 | 車両の周辺監視装置 |
DE102004023323B4 (de) * | 2004-05-07 | 2006-10-19 | Daimlerchrysler Ag | Sensorvorrichtung und Verfahren in einem Fahrzeug zur Erkennung des Zustands der Straßenoberfläche |
DE102005044486B4 (de) * | 2005-09-16 | 2009-02-05 | Daimler Ag | Verfahren zur Detektion des Oberflächenzustands einer Fahrbahn, sowie Detektionssystem und Fahrerassistenzsystem zur Umsetzung des Verfahrens |
DE102005045017A1 (de) * | 2005-09-21 | 2007-03-22 | Robert Bosch Gmbh | Verfahren und Fahrerassistenzsystem zur sensorbasierten Anfahrtsteuerung eines Kraftfahrzeugs |
US8670592B2 (en) * | 2008-04-24 | 2014-03-11 | GM Global Technology Operations LLC | Clear path detection using segmentation-based method |
DE602008006103D1 (de) * | 2008-12-09 | 2011-05-19 | Fiat Ricerche | Optische Vorrichtung für Kraftfahrzeuge zum Erkennen des Zustands der Straßendecke |
FR2947937B1 (fr) * | 2009-07-08 | 2012-03-02 | Valeo Vision Sas | Procede de determination d'une region d'interet dans une image |
DE102009047333A1 (de) * | 2009-12-01 | 2011-06-09 | Robert Bosch Gmbh | Verfahren zur Bestimmung einer Trajektorie eines Fahrzeugs |
US8294794B2 (en) * | 2010-07-06 | 2012-10-23 | GM Global Technology Operations LLC | Shadow removal in an image captured by a vehicle-based camera for clear path detection |
WO2012110030A2 (de) * | 2011-02-14 | 2012-08-23 | Conti Temic Microelectronic Gmbh | Reibwertschätzung mittels einer 3d-kamera |
-
2012
- 2012-12-19 DE DE102012024874.1A patent/DE102012024874B4/de not_active Withdrawn - After Issue
-
2013
- 2013-12-16 WO PCT/EP2013/003784 patent/WO2014095019A1/de active Application Filing
- 2013-12-16 US US14/653,626 patent/US20150344037A1/en not_active Abandoned
- 2013-12-16 EP EP13821663.5A patent/EP2936389B1/de active Active
- 2013-12-16 CN CN201380066043.3A patent/CN104885097B/zh active Active
Also Published As
Publication number | Publication date |
---|---|
WO2014095019A1 (de) | 2014-06-26 |
EP2936389B1 (de) | 2016-09-21 |
US20150344037A1 (en) | 2015-12-03 |
DE102012024874B4 (de) | 2014-07-10 |
CN104885097A (zh) | 2015-09-02 |
CN104885097B (zh) | 2019-12-24 |
DE102012024874A1 (de) | 2014-06-26 |
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